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develop methods to steer developments of large AI systems in such a way that they are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase
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waste gases. Together with our team, you will develop a field-deployable spectrometer, perform field measurements, and analyse and interpret the data. We are looking for a PhD candidate who is eager
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(crowding, concentration of nutrients, size of liposome, etc.) with gene expression levels across a synthetic genome. To achieve this aim, you will use VASA-seq and Ribo-Seq to generate large data sets
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